Uddin, Dr. JiaIvy, Sanjida Islam2018-02-182018-02-1820172017-12ID 13101292http://hdl.handle.net/10361/9504Cataloged from PDF version of thesis report.Includes bibliographical references (pages 25-27).This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.This paper proposes a new technique of noise reduction for 2D digital images. In the proposed model, for constructing a GNS map using DNS maps of central pixels we measured the intensity similarity between center pixel and its neighboring pixels within a certain window. In the proposed scheme, the intensity similarity is being calculated by using Manhattan distance equations; where the conventional GNS map approach uses Euclidean distance principle. To validate the performance of the proposed model, we consider several attacks on our tested dataset and experimental results demonstrate that the proposed model performs better than the conventional GNS map based denoising technique by exhibiting lower MSE results.27 pagesenBRAC University thesis reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.GNSPNGJPEGDigital imageMap denoisingThesis